Find Spotify Mid-Level Software Engineer software engineering jobs

A global music and audio streaming platform delivering the best Spotify experience to millions of users worldwide.

Spotify's Experience team is seeking a Data Engineer to join their mission of delivering the best Spotify experience to millions of users worldwide. The role involves working with consumer experiences across mobile apps, web, TVs, speakers, cars, wearables, and partner integrations. As a Data Engineer, you'll be building structured, high-quality data solutions processing petabytes of data using GCP suite including BigQuery, Dataflow, and Pub/sub. The team is known for developing open-source software like Scio, a Scala API wrapper for Apache Beam.

The position offers the opportunity to work with cutting-edge technologies and frameworks while collaborating with cross-functional teams. You'll be responsible for building and maintaining large-scale data processing systems, improving data quality, and contributing to data-powered products that enhance user experience. The role requires expertise in languages like Python, Java, Scala, and SQL, combined with strong analytical and problem-solving skills.

Working at Spotify means joining a company that values innovation, responsible experimentation, and engineering best practices. The hybrid work environment offers flexibility while maintaining collaborative team dynamics. Whether based in Stockholm or London, you'll be part of a team that's passionate about using data to evolve products and bring better experiences to Spotify users and the global artist community.

This is an excellent opportunity for a data professional who wants to impact millions of users' daily music and audio experiences while working with some of the most advanced data processing technologies and frameworks in the industry.

Data Engineer position at Spotify building large-scale data processing systems and solutions to enhance user experience across multiple platforms.

Data Engineer

Global music and audio streaming platform revolutionizing how people listen to and discover music.

Spotify is seeking a Backend Engineer to join their Advertising Product & Technology organization, working on core backend and data systems that power their advertising platform. This role offers an exciting opportunity to work with one of the world's leading music streaming platforms, focusing on developing and improving Spotify's ad serving infrastructure.

The position involves building scalable backend services and APIs using Java, while collaborating with Data Scientists and Engineers to create complex data pipelines. You'll work with modern technologies and frameworks including Scio, Storm, Spark, and Google Cloud Platform, ensuring high-quality code through automated testing and continuous integration.

As a Backend Engineer at Spotify, you'll have the chance to impact millions of users worldwide, working on systems that match ads to Spotify users while optimizing both user experience and advertiser outcomes. The role requires a strong foundation in Java development, with opportunities to expand into Scala and other technologies.

The company offers an attractive compensation package, including a competitive salary range of $125,562 - $179,374, plus equity. Benefits include comprehensive health insurance, generous parental leave, retirement plans, and flexible time off. Spotify embraces remote work, allowing you to work from anywhere within the Americas region where they have a work location.

This is an ideal opportunity for engineers who are passionate about solving complex technical challenges, value collaboration, and want to contribute to a platform that shapes how people experience music and audio content worldwide. The role combines technical expertise with business impact, as you'll be directly involved in systems that drive both user engagement and revenue.

Backend Engineer position at Spotify focusing on advertising technology and scalable systems development.

Backend Engineer - Advertising

A global music streaming platform that provides ML-powered music recommendations and features

Spotify's Hendrix Serving team is seeking a Backend Engineer to join their mission of building a robust platform for serving machine learning models. This role is central to simplifying the ML model production process and developing infrastructure that powers Spotify's recommendation systems. As part of this team, you'll work on backend services and data pipeline optimization, directly impacting how millions of users experience Spotify through ML-powered features.

The position offers a unique blend of backend engineering and machine learning infrastructure work, where you'll collaborate with ML Engineers, researchers, and product teams to create scalable inference services. You'll be working with cutting-edge technologies and have the opportunity to learn and apply new tools beyond your existing skill set.

The role is based in Toronto with a hybrid work arrangement, offering flexibility while maintaining collaborative opportunities through in-person meetings. You'll be part of Spotify's engineering culture, working on projects that directly impact the company's ML infrastructure and user experience.

This is an excellent opportunity for a backend engineer who wants to work at the intersection of infrastructure and machine learning, helping to scale and improve one of the world's leading music streaming platforms. Your work will be crucial in enabling teams across Spotify to deliver valuable predictions and enhance the user experience through ML-powered features.

Backend Engineer role at Spotify focusing on building and maintaining ML model serving infrastructure and scalable inference services.

Backend Engineer - Platform

A global audio streaming platform providing music, podcasts, and personalized content to hundreds of millions of users worldwide.

Spotify's Personalization Team is at the forefront of understanding the audio world, powering recommendations for hundreds of millions of users globally through products like Discovery Weekly and DJ. As a Backend Engineer on the Search team, you'll be part of a mission-critical initiative to help users efficiently find and discover content. The role combines challenging technical problems with product innovation, working on highly scalable distributed systems that serve hundreds of millions of users.

The position offers the opportunity to work with a highly collaborative team spread across Boston, New York, Stockholm, and London, focusing on building and maintaining robust backend systems and APIs. You'll be working with modern technologies including Java, Python, and Kubernetes, while having the freedom to experiment and iterate quickly.

The role demands a strong technical background in distributed systems and search technologies, combined with the ability to collaborate effectively with cross-functional teams. You'll be contributing to a team that values data-driven decision making and high-quality code delivery, while working on products that directly impact how people discover and enjoy audio content worldwide.

Working at Spotify means joining a company that's shaping the future of audio consumption, with a strong emphasis on personalization and user experience. The flexible work environment allows you to work remotely within the EMEA region, providing an excellent work-life balance while being part of a team that operates in the Central Eastern time zone for collaboration.

Join Spotify as a Backend Engineer working on personalization and search systems, building scalable solutions that help millions discover content they love.

Backend Engineer - Personalization

Global music and audio streaming platform revolutionizing digital content delivery

Spotify is seeking a Data Engineer to join their commerce platform team, specifically focusing on revenue protection and misuse prevention. This role is central to designing and implementing core capabilities that identify and prevent misuse across all plans and services. The position offers a unique opportunity to work with cutting-edge data technologies while maintaining SOX-compliant processes.

The role involves building and maintaining sophisticated data pipelines using DBT and Scio, requiring expertise in SQL, Scala/Python, and Java. You'll be working in a collaborative environment, interfacing with product, engineering, and business teams to develop effective solutions for plan misuse prevention.

Based in London, UK, the position offers a flexible hybrid work arrangement, operating within the Central European and GMT time zones. This setup provides an ideal balance between remote work and necessary in-person collaboration. The role demands strong technical capabilities combined with excellent communication skills, as you'll be working with both technical and non-technical stakeholders.

The ideal candidate will bring experience in data engineering, cloud platforms, and scalable backend systems. Knowledge of A/B testing frameworks and experimentation platforms is valuable. This position offers the opportunity to make a significant impact on Spotify's commerce platform while working with a global team of talented professionals.

Join Spotify to help build and maintain the infrastructure that protects their revenue streams and ensures a fair experience for all users. This role combines technical challenges with business impact, making it an excellent opportunity for a data engineer looking to work on meaningful problems at scale.

Data Engineer position at Spotify focusing on revenue protection and misuse prevention, building data pipelines and working with cross-functional teams.

Data Engineer - Commerce Platform

Global music streaming platform serving 350+ million active users and millions of artists and creators.

Spotify, the leading music streaming platform serving over 350 million active users, is seeking a Full Stack Engineer to join their Authorization team within the Music Tech Platform organization. This role is part of the Music Mission, focusing on building consumer and industry-facing products that enable creators to manage authorization within their teams and organizations.

As a Full Stack Engineer, you'll be at the forefront of tackling complex backend and frontend challenges related to team management and authorization. You'll work on critical tools and services used across all Spotify verticals, including Music, Podcasts, and Audiobooks. Your contributions will directly impact how millions of creators connect with their audiences and how hundreds of millions of users experience Spotify.

The position offers an exciting opportunity to work with modern technologies like Java, React, GraphQL, and TypeScript, while building secure, performant, and reliable solutions. You'll be part of an agile, multi-functional team that values collaboration, continuous experimentation, and iterative development. The role combines technical expertise with business impact, requiring a balance between sophisticated technical solutions and practical product requirements.

Based in NYC with a flexible hybrid work arrangement, this position offers competitive compensation including equity, comprehensive benefits, and a collaborative culture that embraces change and innovation. Join Spotify to help shape the future of digital music and content creation while working on products that serve a global audience.

Full Stack Engineer position at Spotify, building authorization and team management solutions for creators and artists, using Java, React, and TypeScript in a hybrid work environment.

Full Stack Engineer - Music

Global music and audio streaming platform providing customer service solutions for millions of users worldwide.

Spotify is seeking a Backend Engineer to join their Rocksolid squad, which forms the backbone of their Customer Service Platform (CSP). This role offers a unique opportunity to work on systems that directly impact customer support operations at scale. The position involves designing and maintaining backend services critical to the company's customer support ecosystem, covering multiple channels including web, email, compliance logging, account management, and operational automation.

The role requires collaboration with cross-functional teams in an agile environment, working alongside product managers and engineering leaders to drive technical innovation. You'll be responsible for developing scalable, high-performance backend solutions that power customer support experiences for millions of users worldwide. A key part of the role involves working on the Conversation SDK, which powers approximately 65% of customer support interactions.

As a Backend Engineer, you'll be involved in implementing and optimizing APIs, maintaining compliance-critical systems, and working with data pipelines. The position offers the flexibility of hybrid work from the London office, requiring in-person presence three times per week. This is an excellent opportunity for engineers passionate about building robust backend systems and interested in shaping the future of customer service technology at a global scale.

The ideal candidate should have strong experience in backend development, particularly with Java and distributed systems. Knowledge of RESTful and gRPC APIs, database management, and Google Cloud Platform is essential. This role provides an opportunity to make a significant impact on Spotify's customer service infrastructure while working with cutting-edge technologies in a collaborative environment.

Backend Engineer position at Spotify focusing on customer service platform development, requiring Java expertise and API development experience.

Backend Engineer - Customer Service Platform

A global music and podcast streaming platform that connects artists and listeners through personalized experiences.

Spotify's Personalization teams are at the forefront of creating beloved features like Daily Mix and Discover Weekly. The Fritz team specifically focuses on next-content recommendation using machine learning models that operate in real-time. As a Machine Learning Engineer II, you'll be part of a team that's migrating training infrastructure to Ray and continuously innovating to increase user engagement.

The role involves working with cutting-edge ML technologies to solve complex personalization challenges for hundreds of millions of active users. You'll be collaborating with cross-functional teams including user research, design, data science, and product management to create features that meaningfully connect artists and fans.

The position offers competitive compensation and comprehensive benefits, including healthcare, parental leave, and retirement plans. You'll work in a flexible environment within the Eastern Standard time zone, with the opportunity to be based anywhere in North America where Spotify has a work location.

This is an excellent opportunity for an experienced ML practitioner who wants to impact how millions of people discover and enjoy music and podcasts. You'll be working with state-of-the-art technologies and frameworks while contributing to a collaborative culture of ML excellence at Spotify.

Mid-level Machine Learning Engineer position at Spotify focusing on personalization and recommendation systems, offering competitive salary and benefits.

Machine Learning Engineer II, Personalization

A leading music and podcast streaming platform that develops personalized listening experiences for users worldwide.

Join Spotify's Personalization team, the innovative force behind beloved features like Discover Weekly and AI DJ. As a Machine Learning Engineer II, you'll be at the forefront of developing prompt-based playlists and listening sessions, specifically working on the AI Playlist feature. The role combines cutting-edge LLM technology with practical implementation, requiring expertise in machine learning and production-level development. You'll work with a team that directly impacts millions of users' listening experiences, making music discovery more enjoyable and personalized. The position offers competitive compensation, comprehensive benefits, and the flexibility of remote work within North America. Spotify's commitment to work-life balance is evident through generous leave policies and flexible holidays. This is an opportunity to shape the future of music recommendation technology at a global scale while working with state-of-the-art AI systems.

Machine Learning Engineer II position at Spotify, focusing on AI-powered playlist personalization and recommendation systems using LLM technology.

A global music and audio streaming platform delivering personalized content to millions of users worldwide.

Spotify's Experience team is seeking a Machine Learning Engineer to join their Content Understanding teams, focusing on enriching the lives of millions of users worldwide through advanced ML solutions. The role involves working on cutting-edge projects like audio fingerprinting for podcast music recognition, video/image tagging for moderation and recommendations, audiobook author attribution using graph ML, and content categorization for royalty calculations.

The position offers an opportunity to work with a diverse team of professionals averaging 11 years of music industry experience, including product specialists, ML engineers, data engineers, and backend developers. You'll be at the forefront of expanding Spotify's AI capabilities, using world-class engineering and machine learning techniques on real-world big data.

The role combines hands-on ML development with practical implementation at scale, serving hundreds of millions of active users. You'll be involved in everything from prototyping new approaches to production deployment, working in a collaborative, agile environment alongside design, data science, product management, and engineering teams.

Key projects include developing audio fingerprinting systems for podcast music recognition (ensuring proper royalty distribution), implementing video and image tagging for content moderation, creating graph ML approaches for audiobook author attribution, and building classification systems for catalog content management.

The position offers competitive compensation, comprehensive benefits, and the opportunity to work with a global leader in audio streaming technology. Based in New York City, you'll be part of a team that's pushing the boundaries of AI-based machine technology to enhance the Spotify experience for users worldwide.

Machine Learning Engineer role at Spotify focusing on content understanding, audio fingerprinting, and ML systems at scale.

Machine Learning Engineer - Content Understanding

Spotify is a leading music and audio streaming platform.

We are looking for a Backend Engineer to join our Data Protection team and be a key player in ensuring that data at Spotify is appropriately protected. You will contribute to building a scalable data protection platform that ensures data across Spotify is appropriately protected, managed, and deleted when no longer needed. This is a highly impactful role where you'll develop systems that empower engineers across the company to efficiently deliver secure, reliable, and compliant solutions.

You'll design, build, and optimise backend services and data pipelines that support data retention, access, and deletion requirements, ensuring Spotify meets evolving privacy and regulatory standards. Collaborate with cross-functional teams to tackle challenging problems and implement solutions that scale to meet the needs of the entire organisation.

What You'll Do:
- Design, develop, and maintain backend services and data pipelines that enable the safe use of data across the company.
- Collaborate closely with globally distributed teams to implement solutions that scale to handle millions of requests per second.
- Utilise technologies such as Java, Scala, microservices, Google Cloud Platform (GCP), Dataflow, and Spanner.
- Participate in the operational responsibility for services, including being part of an on-call rotation for critical service at Spotify.
- Drive automation efforts to improve system efficiency, reliability, and scalability.
- Drive the optimization, testing, and tooling efforts to improve the quality of data and systems.
- Contribute to a culture of continuous learning, experimentation, and adopting new technologies.

Who You Are:
- You have at least two years professional experience working in a product-driven environment building production software.
- You know how to write distributed, high-volume services and have strong programming skills in Java and/or Scala.
- Experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Dataflow, GCS, BigQuery and Spanner.
- Ability to work optimally in a remote-first, distributed team environment.
- A track record of designing and driving small to medium-scale automation projects autonomously.

Where You'll Be:
- For this role you will be in London or Madrid

Backend Engineer for Spotify's Data Protection team, building scalable platforms to ensure data security and compliance.

Spotify Mid-Level Software Engineer Software Engineering Jobs

Find Spotify Mid-Level Software Engineer software engineering jobs